Bring Web3 Authentication
to OpenAI Agents SDK
Learn how to connect Dynamic (Web3 Auth) to OpenAI Agents SDK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Dynamic (Web3 Auth) MCP Server?
Connect your Dynamic environment to any AI agent to streamline Web3 user management and security workflows through natural conversation.
What you can do
- User Management — Fetch detailed user profiles or permanently delete users from specific environments using
get_useranddelete_user. - Security & Compliance — Use
check_sanctionsto verify if specific wallet addresses are sanctioned across multiple chains (ETH, SOL, EVM, etc.). - Session Control — Instantly terminate active user sessions with
revoke_sessionto maintain environment security. - Infrastructure Monitoring — List active embedded wallet versions and configured webhooks to audit your auth setup.
- Financial Insights — Retrieve real-time token balances for users across different networks using
get_token_balances.
How it works
- Subscribe to this server
- Enter your Dynamic API Token
- Start managing your Web3 auth layer from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web3 Developers — Debug user profiles and check token balances directly from your code editor.
- Security & Ops Teams — Audit wallet sanctions and revoke suspicious sessions instantly without opening the dashboard.
- Product Managers — Monitor webhook configurations and available event types to coordinate feature releases.
Built-in capabilities (8)
Check wallet sanctions
Delete a user from an environment
Get active embedded wallet versions
Get available event types
Get token balances for a user
Get a user by ID in an environment
Get configured webhooks
Revoke an active user session
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 8 tools from Dynamic (Web3 Auth) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dynamic (Web3 Auth), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Dynamic (Web3 Auth) in OpenAI Agents SDK
Dynamic (Web3 Auth) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dynamic (Web3 Auth) to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Dynamic (Web3 Auth) in OpenAI Agents SDK
The Dynamic (Web3 Auth) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Dynamic (Web3 Auth) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Dynamic (Web3 Auth) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check if a specific wallet address is sanctioned before onboarding a user?
Yes! Use the check_sanctions tool by providing the wallet address and the chain (e.g., ETH, SOL). The agent will return the sanction status for that environment.
How do I retrieve the token balances for a user across different networks?
Simply use the get_token_balances tool. You'll need to provide the environment ID, user ID, and an array of balance requests specifying the address and chain.
Is it possible to terminate a suspicious user session immediately?
Yes. Use the revoke_session tool with the specific session ID. This will instantly invalidate the session and disconnect the user.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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